public NeuroNetwork Copy()
{
var hidden = new List <int>();
for (int i = 0; i < HiddenLayers.Count; i++)
{
hidden.Add(HiddenLayers[i].Count);
}
var result = new NeuroNetwork(Inputs.Count, hidden, Outputs.Count, Memory.Count, false);
for (int i = 0; i < Inputs.Count; i++)
{
result.Inputs.Add(Inputs[i].Copy());
}
for (int i = 0; i < Memory.Count; i++)
{
result.Memory.Add(Memory[i].Copy());
}
for (int i = 0; i < hidden.Count; i++)
{
for (int j = 0; j < hidden[i]; j++)
{
result.HiddenLayers[i].Add(HiddenLayers[i][j].Copy());
}
}
for (int i = 0; i < Outputs.Count; i++)
{
result.Outputs.Add(Outputs[i].Copy());
}
result.Color = Color;
return(result);
}
public void Update()
{
if (Dead)
{
return;
}
NeuroNetwork.Update(GetInputsNew());
var rotRight = NeuroNetwork.Outputs[0].Value;
var rotLeft = NeuroNetwork.Outputs[1].Value;
var turn = 0;
if (rotRight > 0.4)
{
Rotate(1);
turn = 1;
}
if (rotLeft > 0.4)
{
Rotate(-1);
turn = -1;
}
for (int i = 1; i < lastTurns.Count; i++)
{
lastTurns[i] = lastTurns[i - 1];
}
lastTurns[0] = turn;
Move();
}
private void InitSnakes()
{
for (int i = 0; i < populationCount; i++)
{
fields.Add(new Field(fieldSize, fieldSize, i * (int)DateTime.Now.Ticks));
var neuroNetwork = new NeuroNetwork(snakeInputs, hiddenLayersConfig[StaticRandom.Next(hiddenLayersConfig.Count)], snakeOutputs, snakeMemory);
population.Add(new Snake(fields[i], neuroNetwork));
}
}
public Snake(Field field, NeuroNetwork neuroNetwork)
{
Field = field;
field.Snake = this;
NeuroNetwork = neuroNetwork;
neuroNetwork.Snake = this;
body = new List <Point>();
Energy = 50;
Rotation = StaticRandom.Next(4);
lastTurns = new List <double> {
0, 0, 0
};
Initialize();
}
public void Cross(NeuroNetwork other)
{
for (int i = 0; i < HiddenLayers.Count; i++)
{
for (int j = 0; j < HiddenLayers[i].Count; j++)
{
if (StaticRandom.NextDouble() > 0.5)
{
HiddenLayers[i][j] = other.HiddenLayers[i][j].Copy();
}
}
}
for (int j = 0; j < Outputs.Count; j++)
{
if (StaticRandom.NextDouble() > 0.5)
{
Outputs[j] = other.Outputs[j].Copy();
}
}
}
private void CreatePopulation()
{
dead.Sort(new SnakeComparer());
dead.Reverse();
if (topSnake == null || dead[0].Fitness > topSnake.Fitness)
{
topSnake2 = topSnake;
topSnake = dead[0];
}
if (topSnake2 == null)
{
topSnake2 = dead[1];
}
scores["maxFitness"] = Math.Max(scores["maxFitness"], dead[0].Fitness);
scores["lastFitness"] = dead[0].Fitness;
if (dead[0].Fitness == 0)
{
throw new Exception();
}
var fieldCount = 0;
/*for (int i = 0; i < populationCount * 0.0; i++)
* {
* var neuroNetwork = dead[0].NeuroNetwork.Copy();
* neuroNetwork.NeuroShake(shakeRate);
* population.Add(new Snake(fields[fieldCount], neuroNetwork));
* fieldCount++;
* }*/
for (int i = 0; i < populationCount * 0.3; i++)
{
var neuroNetwork = topSnake.NeuroNetwork.Copy();
neuroNetwork.Cross(dead[0].NeuroNetwork);
neuroNetwork.NeuroShake(shakeRate);
population.Add(new Snake(fields[fieldCount], neuroNetwork));
fieldCount++;
}
for (int i = 0; i < populationCount * 0.3; i++)
{
var neuroNetwork = topSnake.NeuroNetwork.Copy();
neuroNetwork.NeuroShake(shakeRate);
population.Add(new Snake(fields[fieldCount], neuroNetwork));
fieldCount++;
}
for (int i = 0; i < populationCount * 0.2; i++)
{
var neuroNetwork = topSnake2.NeuroNetwork.Copy();
neuroNetwork.NeuroShake(shakeRate);
population.Add(new Snake(fields[fieldCount], neuroNetwork));
fieldCount++;
}
for (int i = 0; i < populationCount * 0.2; i++)
{
var neuroNetwork = new NeuroNetwork(snakeInputs, hiddenLayersConfig[StaticRandom.Next(hiddenLayersConfig.Count)], snakeOutputs, snakeMemory);
population.Add(new Snake(fields[fieldCount], neuroNetwork));
fieldCount++;
}
foreach (var field in fields)
{
field.ReviewFood();
}
dead.Clear();
populationNumber++;
}
